A systems-biology model of the tumor necrosis factor (TNF) interactions with TNF receptor 1 and 2

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MOTIVATION: Clustering enables TNF receptors to stimulate intracellular signaling. The differential soluble ligand-induced clustering behavior of TNF receptor 1 (TNFR1) and TNFR2 was modeled. A structured, rule-based model implemented ligand-independent pre-ligand binding assembly domain (PLAD)-mediated homotypic low affinity interactions of unliganded and liganded TNF receptors.

RESULTS: Soluble TNF initiates TNFR1 signaling but not TNFR2 signaling despite receptor binding unless it is secondarily oligomerized. We consider high affinity binding of TNF to signaling-incompetent pre-assembled dimeric TNFR1 and TNFR2 molecules and secondary clustering of liganded dimers to signaling competent ligand-receptor clusters. Published receptor numbers, affinities and measured different activities of clustered receptors validated model simulations for a large range of receptor and ligand concentrations. Different PLAD-PLAD affinities and different activities of receptor clusters explain the observed differences in the TNF receptor stimulating activities of soluble TNF.

AVAILABILITY AND IMPLEMENTATION: All scripts and data are in manuscript and supplement at Bioinformatics online.

SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Medienart:

E-Artikel

Erscheinungsjahr:

2021

Erschienen:

2021

Enthalten in:

Zur Gesamtaufnahme - volume:37

Enthalten in:

Bioinformatics (Oxford, England) - 37(2021), 5 vom: 05. Mai, Seite 669-676

Sprache:

Englisch

Beteiligte Personen:

Prada, Juan Pablo [VerfasserIn]
Wangorsch, Gaby [VerfasserIn]
Kucka, Kirstin [VerfasserIn]
Lang, Isabell [VerfasserIn]
Dandekar, Thomas [VerfasserIn]
Wajant, Harald [VerfasserIn]

Links:

Volltext

Themen:

Journal Article
Ligands
Receptors, Tumor Necrosis Factor, Type I
Research Support, Non-U.S. Gov't
Tumor Necrosis Factor-alpha

Anmerkungen:

Date Completed 03.06.2021

Date Revised 03.06.2021

published: Print

Citation Status MEDLINE

doi:

10.1093/bioinformatics/btaa844

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM315622652